Software Craftsperson/Python/AI

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Software Craftsperson/Python/AI based in Germany. This role sits at the intersection of software engineering and AI-native development, where craftsmanship and automation work hand in hand. You will contribute to building high-quality, scalable systems while actively leveraging AI as a co-creator across the software development lifecycle. The environment is highly autonomous, consultative, and impact-driven, with strong expectations around ownership and technical excellence. You will work on solving complex product and engineering problems while shaping engineering practices across teams and initiatives. The role emphasizes clean design, maintainable systems, and continuous improvement through feedback and experimentation. It is ideal for engineers who enjoy working across Python-based systems, modern AI tooling, and end-to-end product delivery in a fast-evolving technical landscape. Accountabilities Own the end-to-end lifecycle of engineering initiatives, ensuring delivery readiness, production stability, and smooth execution across all phases. Design and deliver scalable, maintainable features with strong attention to architecture, quality, and long-term sustainability. Identify technical, product, and process inefficiencies and proactively drive improvements across teams and systems. Use AI tools actively to accelerate design, development, testing, debugging, and delivery workflows. Contribute to DevEx and delivery improvements using modern engineering practices, including DORA metrics and flow optimization. Support estimation, planning, and vertical slicing discussions to ensure clear, incremental delivery of value. Provide technical leadership through mentoring, feedback, and guidance across team and pod-level initiatives. Collaborate with stakeholders to clarify requirements, resolve ambiguity, and align on outcomes. Influence engineering standards including code quality, testing approaches, and system design practices. Requirements 4+ years of software engineering experience, including 2+ years working hands‑on with AI/ML systems in production environments. Strong proficiency in Python or TypeScript (with willingness to work across both), and solid fundamentals in data structures, algorithms, and software design. Hands‑on experience building production applications using LLMs (e.g., GPT, Claude, or similar) for tasks such as document processing, extraction, or classification. Strong experience in prompt engineering and improving structured outputs from LLMs for real‑world business use cases. Experience with LLM orchestration tools and frameworks such as LangChain, LlamaIndex, or similar, and familiarity with vector databases like Pinecone, Qdrant, or PgVector. Working knowledge of LLMOps practices including CI/CD, prompt versioning, evaluation, monitoring, and cost optimization. Experience designing scalable backend systems, APIs, and data pipelines in production environments. Familiarity with Agile/XP practices, continuous delivery, and collaborative engineering workflows. Strong communication skills with the ability to work effectively in cross-functional, client‑facing environments. Experience using version control systems (Git), writing technical documentation, and working in modern cloud‑based infrastructure. Benefits Fully remote‑first work environment with flexible scheduling across time zones. Opportunity to work in an AI‑native engineering culture focused on craftsmanship and quality. Twice‑yearly in‑person co‑working sessions and annual company retreat (fully covered). Dedicated learning and development budget to support continuous skill growth. Sponsorship for conferences, talks, and external learning opportunities. Comprehensive medical and term insurance coverage. Home office support and employee‑friendly leave policies. Strong engineering culture centered on pairing, experimentation, and continuous improvement. #J-18808-Ljbffr Jobgether